Statistics with R: Introduction to Data Types, Lesson 1 by Courtney Brown

Lesson 1: Introduction to Data Types. This lecture was given at Emory University in Atlanta, Georgia on 1 September 2013. In this lesson, data types are discussed, as well as methods for collecting samples from a larger population.

The textbook used for this course is: Statistical Methods for the Social Sciences (4th Edition), by Alan Agresti and Barbara Finlay, although the course can be used with any relevant textbook.

R programs and data sets can be found here:

Links to all of the video lessons for this course can be found here:

Individual lessons are also listed below:

Lesson 1: Introduction to Data Types

Lesson 2: Using R and Rstudio

Lesson 3: Descriptive Statistics and Plotting I, Beginning Assignment #1 - Part 1

Lesson 4: Descriptive Statistics and Plotting II, Beginning Assignment #1 - Part 2

Lesson 5: Confidence Intervals

Lesson 6: Understanding t-tests and Assignment #2

Lesson 7: Hypothesis Testing, Crosstabulation Tables, and the Chi-Squared Statistic

Lesson 8: Crosstabulation Tables Using R

Lesson 9: Introduction to Regression

Lesson 10: Multiple Regression I

Lesson 11: Multiple Regression II, and Assignment #4

Lesson 12: Multiple Regression III, and the Remainder of Assignment #4

Lesson 13: Scientific Writing I and Assignment #1 for the Final Project

Lesson 14: Dummy Variables with Multiple Regression Using R

Lesson 15: Writing Hypotheses

Lesson 16: Multicollinearity I

Lesson 17: Multicollinearity II

Lesson 18: Ridge Regression

Lesson 19: Logistic Regression

[MrMPAROUARE]

Thank You so much Sir, I will be following the Full course. You are just a great person. Thank You again.

[tamekia]

Thank you so much! This helping me so much with my current advanced stats class.

[devvasu]

Thanks  Professor, Absolutely  great lectures, worth the time

[mecobio]

Kind of hard to see any code from the camera angle.
What is the point to see the teacher (who looks like a Pirate of the Caribbean)?

[fabriziodallolmo]

Hi. Thank you for this. I am looking forward to the full course. What is the text you are referring to?

[Tomarsu]

Thanks very much! I would like to know what textbook you are using for this course.

[EvaSlash]

But if you take an "independent random sample", how can you just assume it representative of the population at large? Sure, it may be random, but where is the proof behind it actually being representative? We cannot just assume a sample is like the population unless we were some sort of prophets from outer space, or can we?

[gregdeng]

Have anybody  found the full course?thank you 

[brentspiner]

Hi, I cannot download the R code from your website. Can you fix that?

[prabhjotrai]

Can anyone tell me which book is he referring to in the video?